Maximum drawdown vs average drawdown: what traders often confuse
Max drawdown versus average drawdown: definitions, path effects, and why both can mislead if you ignore regime and sample size.
Maximum drawdown trading strategy pain is a headline risk metric. Average drawdown summarizes typical underwater depth across drawdown episodes. They are not interchangeable.
Definitions
- Max drawdown (MDD): worst peak-to-trough loss on the equity curve in the sample
- Average drawdown: a summary of typical drawdown depth across episodes (definition variants exist)
Why both mislead alone
MDD is path-dependent: one crisis month can dominate. Average drawdown can hide rare large drawdowns if your sample never includes a stress regime.
What to pair with drawdown metrics
- Tail risk views (CVaR vs VaR)
- Sample length and trade count (How many trades)
- Walk-forward stability (WFE)
Recovery factor and path shape
Traders sometimes combine drawdown with recovery metrics (recovery factor style thinking). The point remains: a single max drawdown number does not tell you how long you stayed underwater or how often you revisit drawdowns.
Practical reporting habit
Report max drawdown, a drawdown duration summary if your tooling provides it, and a tail metric. That trio is closer to a usable risk picture than any one scalar.
Crypto and leverage note
With leverage, the same percentage price move creates larger equity drawdowns. Always state whether drawdown is on equity or notional exposure, and whether funding is included for perpetuals (Cost drag).